English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Cloud computing has been widely accepted and embraced in different fields and one offering continually developing is Software as a Service, which provides software to customers. Although economically beneficial to Cloud Service Providers, multi-tenancy poses a scheduling challenge. Allocation and reallocation of resources is the key to accommodating unpredictable demands and improving return on investment from the multitenant infrastructure. This paper proposes employment of Improved Bees Algorithm which is a modification of the Bees algorithm in scheduling of jobs as submitted by users on the cloud. The following algorithms; Round Robin, First Come First Serve, Bees and Improved Bees algorithm are executed, evaluated and finally a recommendation was made to use the Improved Bees algorithm. It is based on customer job scheduling, seeking to minimize the switching time, improve the resource utilization and the server performance.

Job Scheduling and Resource sharing on cloud platform based on Improved Bees Algorithm.